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Apostolos Antonacopoulos

School of Computing, Science and EngineeringNewton BuildingUniversity of SalfordGreater ManchesterM5 4WTUnited Kingdom

Tel: +44-(0)161-295 2653 (direct)

Apostolos Antonacopoulos
leads the Pattern Recognition and Image Analysis (PRImA) research Lab at the School of Computing, Science and Engineering at the University of Salford, UK where he currently holds the post of Senior Lecturer. He received his PhD from the University of Manchester, Institute of Science and Technology (UMIST), UK in 1995. From 1995 to 2004 he worked as Lecturer in the Department of Computer Science at the University of Liverpool where he founded PRImA. In 2005, he received the IAPR/ICDAR Young Investigator Award for "Outstanding service to the ICDAR community and his innovative research in historical document processing applications."

Dr Antonacopoulos has worked and published extensively on various problems in Document Analysis and Understanding (Image Enhancement, Segmentation, Recognition, Performance Evaluation) as well as on other applications of Pattern Recognition and Image Analysis. He has co-edited the first Special Issue (IJDAR) on Historical Document Analysis as well as the first book on Web Document Analysis. He is a member of the Editorial Boards of the International Journal on Document Analysis and Recognition and of the Electronic Letters on Computer Vision and Image Analysis.

He is currently serving as Vice President (2nd) of the IAPR (2012-2014). In the past he has served again as Vice President (1st) of the IAPR (2008-2010) and has chaired or served as a member of a number of IAPR and other committees. He has given a number of invited talks and tutorials and is holding engagements as a technical advisor to libraries and archives, among which are the British Library and the Wellcome Trust archives. He has been active in the organisation of conferences and workshops and is a member of the programme committees of most conferences in his field. He has significant experience in leading and participating in national, European (FP7 and earlier) and industry-sponsored projects. Current significant project involvement includes the €4M Europeana Newspapers EU-funded project (extraction and recognition of text in newspapers for the European Digital Library), the €1.8 SUCCEED EU-funded support action for the Centre of Competence in Digitisation and the US$734K Early Modern OCR project (EMOP) funded by the Andrew W. Mellon Foundation.